Name
Abstract | ||
|---|---|---|
Current studies indicate that 1 in 68 children have Autism Spectrum Disease. It is known that early diagnosis and intervention can alter the course of development and significantly improve the prognosis of the disease. It is our intention to develop a task Recommendation System, which will use a Case-based Reasoning machine learning technique, in order to supplement the child's regular therapy. Besides the tasks' recommendation, this application will allow a closer monitoring by parents and a better coordination with the therapists, contributing to improve the results on child's development. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-61118-1_12 | AMBIENT INTELLIGENCE- SOFTWARE AND APPLICATIONS- 8TH INTERNATIONAL SYMPOSIUM ON AMBIENT INTELLIGENCE (ISAMI 2017) |
Keywords | Field | DocType |
Autism,Case-based reasoning,Decision support system,Mobile computing | Mobile computing,Autism,Recommender system,Disease,Decision support system,Psychology,Autism spectrum disorder,Case-based reasoning,Applied psychology | Conference |
Volume | ISSN | Citations |
615 | 2194-5357 | 1 |
PageRank | References | Authors |
0.38 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Margarida Costa | 1 | 1 | 0.38 |
| Angelo Costa | 2 | 31 | 8.75 |
| Vicente Julián | 3 | 546 | 87.40 |
| Paulo Novais | 4 | 883 | 171.45 |